SSM THOUGHTS BRIDGE

  A/B test is really important to scale the decision we are making. And also helping us to determine which way to optimize, automate or scale. A/B testing is all about putting effectiveness on the top. A/B testing (also known as split testing or bucket testing) is a method of comparing two versions of a webpage or app against each other to determine which one performs better. It is essentially an experiment where two or more variants of a page are shown to users at random, and statistical analysis is used to determine which variation performs for a better given conversion goal. This is (Part 1) of my writings on A/B testing. This article is based on what I have learnt from CXL institute. I will be writing about more on A/B test following weeks. History of A/B Testing: Ton Wesseling, (Founder and Co-Owner, Online Dialogue) showed this diagram of the history of A/B testing in CXL Institute. According to him, before 1995 there wasn’t a thing called A/B testing but from 1995 till 2000 ...

If you read my article about make your researchXL part 1 then you have already know about the 6 steps in researchXL model for conversion research. This week in this article I want to write about the ABCD of the step 1 in researchXL model, which is Heuristic Analysis.   Heuristic Analysis Heuristic Analysis is an expert based analysis that uses experience based techniques for problem solving, learning and discovery. It results are not guaranteed to be optimal. This is the first step in the research XL model. Any scaling we do we need to back it up with data. We can identify problems with our bare eyes but we have to always keep in mind that we should not jump to conclusions here. Everything we do, literally everything, we have to back it up with data. “We are all humans with our biases, don’t fall in the trap of thinking that your judgement is the truth.”   Heuristic analysis is all about familiarizing with the site and helps us to map our problem areas, so that we ...